Digital Signal Processing Engineer TS/SCI

  • Engineering
  • Multiple Locations
  • Geolocation theory & techniques, ability to work in complex RF environments w/strong foundation of and knowledge of 3G & 4G wireless air interface protocols and multi-threaded signal processing algorithms in Python/C++ on Linux hosts.

Website edgecumbe group

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Security Clearance: TS/SSBI/SCI

Qualifying candidate will be a highly motivated individual with a specialty in Digital Signal Processing (DSP) and Wireless Protocols along with a strong software background to perform cutting-edge research and development on real-time Software Defined Radio (SDR) and protocol processing systems.

Responsibilities will include:

  • Rapid prototyping in a Linux development environment, analyzing and implementing RF protocols
  • Implementation of real-time signal processing algorithms on Linux-based SDR platforms; analyzing customer needs and requirements; analyzing and troubleshooting system performance both on-site and in the field; close interaction with software development team.
  • Top Secret SCI clearance is required.

Required Experience:

  • Knowledge of digital communications theory, including detection, estimation, and demodulation
  • Development of engineering solutions and techniques to collect, process, and exploit signals of interest
  • Capable of developing modeling techniques, carrying to proof-of-concept, evolving to a prototype solution, and finally delivering operational systems
  • Excellent written and verbal communication skills
  • Development of systems for the Intelligence and Defense communities
  • Interaction with senior level government and military personnel
  • C/C++ and Python development
  • Comfortable in a Linux development environment
  • B.S. or higher in Electrical Engineering, Computer Science, Mathematics or related field

Desired Experience:

  • Knowledge of SDR
  • XMIDAS familiarity
  • Geolocation theory and techniques
  • Working in complex RF environments
  • Knowledge of 3G and 4G wireless air interface protocols
  • Comfortable with field deployments
  • Knowledge of multi-threaded signal processing algorithms in Python/C++ on Linux hosts
  • Code Management (e.g. Git would be ideal)
  • Comfortable working with team-members remotely

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